Perhaps the best-known transductive classification method in classical machine learning is the transductive support vector machine (TSVM) [1]}, [2]}. While a support vector machine (SVM) [3]} seeks to achieve a general decision function, a TSVM attempts to reduce misclassifications of just the target test instances. To the best of our knowledge, in deep learning, transductive settings have only been addressed in the case of few-shot learning (t-FSL).
